Error when running BDCN_EDGEDETECTOR model type. about deep-learning-frameworks

[scdub]

@aidos2 were you able to address your issue? Can you share what GPU you're working with? it sounds like potentially the GPU memory has been exceeded with this particular model.

[scdub]

@aidos2 Checking in with you again if you were able to address this issue with th particular model. If not, let us know what GPU you're working with and whether reducing the batch size is sufficient to address the problem.

[aidos2]

Hello. I have checked my GPU memory is 6 GB

[aidos2]

Also. I have a question. What kind of model is the best and efficiently delineate agricultural croplands for large regions. I have read several articles about it and I realized there several techniques such as Vanilla Unit with Resnet backbone and edge detection methods with canny edge detection can do this task. Here in the ArcgisPro environment, I used the MaskRCNN model. Hence, my output model is not accurately define crop boundary.
My goal is to implement this workflow.

1. Load Sentinel 2 Mosaic images for the whole region
2. Load Training data as shapefile
3. Export training data into Deep Learning
4. Train Deep Learning models such as UNET, MaskRSNN, BDCN edge detection model
5. Predict the model for the entire raster
6. Extract Cropland boundary
7. Post Processing the vector data such as Generalize( snake or Chaiken)
8. Compare with Reference Parcel Data and determine differences.